Yulia Tsvetkov

5.3k total citations
96 papers, 1.7k citations indexed

About

Yulia Tsvetkov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yulia Tsvetkov has authored 96 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Yulia Tsvetkov's work include Natural Language Processing Techniques (58 papers), Topic Modeling (55 papers) and Hate Speech and Cyberbullying Detection (15 papers). Yulia Tsvetkov is often cited by papers focused on Natural Language Processing Techniques (58 papers), Topic Modeling (55 papers) and Hate Speech and Cyberbullying Detection (15 papers). Yulia Tsvetkov collaborates with scholars based in United States, Israel and China. Yulia Tsvetkov's co-authors include Chris Dyer, Xiaochuang Han, Shuly Wintner, Alan W. Black, Anatole Gershman, Manaal Faruqui, Keita Kurita, Nidhi Vyas, David Jurgens and Dan Jurafsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Computational Linguistics and Journal of Artificial Intelligence Research.

In The Last Decade

Yulia Tsvetkov

87 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yulia Tsvetkov United States 21 1.4k 174 159 154 145 96 1.7k
David Bamman United States 22 1.0k 0.7× 124 0.7× 112 0.7× 115 0.7× 216 1.5× 57 1.7k
Barbara Plank Denmark 26 1.9k 1.3× 74 0.4× 235 1.5× 352 2.3× 149 1.0× 145 2.2k
Smaranda Muresan United States 21 1.3k 0.9× 142 0.8× 274 1.7× 108 0.7× 174 1.2× 86 1.5k
Roi Reichart Israel 28 2.5k 1.8× 118 0.7× 194 1.2× 353 2.3× 86 0.6× 108 2.9k
Alice Oh South Korea 20 1.2k 0.9× 121 0.7× 323 2.0× 97 0.6× 286 2.0× 98 1.8k
Patrick Juola United States 18 1.2k 0.9× 52 0.3× 312 2.0× 62 0.4× 205 1.4× 59 1.5k
Vinodkumar Prabhakaran United States 16 660 0.5× 36 0.2× 117 0.7× 50 0.3× 267 1.8× 56 1.1k
Joel Tetreault United States 32 3.4k 2.4× 106 0.6× 524 3.3× 295 1.9× 143 1.0× 97 3.8k
Valerio Basile Italy 22 1.8k 1.3× 68 0.4× 316 2.0× 123 0.8× 205 1.4× 76 2.0k
Beata Beigman Klebanov United States 19 737 0.5× 325 1.9× 116 0.7× 44 0.3× 32 0.2× 81 1.0k

Countries citing papers authored by Yulia Tsvetkov

Since Specialization
Citations

This map shows the geographic impact of Yulia Tsvetkov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yulia Tsvetkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulia Tsvetkov more than expected).

Fields of papers citing papers by Yulia Tsvetkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yulia Tsvetkov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yulia Tsvetkov. The network helps show where Yulia Tsvetkov may publish in the future.

Co-authorship network of co-authors of Yulia Tsvetkov

This figure shows the co-authorship network connecting the top 25 collaborators of Yulia Tsvetkov. A scholar is included among the top collaborators of Yulia Tsvetkov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yulia Tsvetkov. Yulia Tsvetkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Zhang, Mengke, Tianxing He, Tianle Wang, et al.. (2024). LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud. 2674–2690. 1 indexed citations
3.
4.
Zhang, Jingyu, Tianxing He, Yichen Wang, et al.. (2024). SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. 4067–4082. 9 indexed citations
5.
Feng, Shangbin, Herun Wan, Ningnan Wang, et al.. (2024). What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection. 3580–3601. 8 indexed citations
6.
Wan, Herun, et al.. (2024). DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. 2637–2667. 13 indexed citations
7.
Asai, Akari, Sneha Kudugunta, Hila Gonen, et al.. (2024). BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. 1771–1800. 3 indexed citations
8.
Shi, Weijia, Xiaochuang Han, Michael Lewis, et al.. (2024). Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. 783–791. 22 indexed citations
9.
Shi, Weijia, Xiaochuang Han, Hila Gonen, et al.. (2023). Toward Human Readable Prompt Tuning: Kubrick’s The Shining is a good movie, and a good prompt too?. 10994–11005. 8 indexed citations
10.
Han, Xiaochuang, et al.. (2023). On the Zero-Shot Generalization of Machine-Generated Text Detectors. 4799–4808. 2 indexed citations
11.
Kumar, Sachin, et al.. (2023). Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. 3299–3321. 24 indexed citations
12.
13.
He, Tianxing, Tianle Wang, Sachin Kumar, et al.. (2023). On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. 12067–12097. 7 indexed citations
14.
Field, Anjalie, et al.. (2023). Examining risks of racial biases in NLP tools for child protective services. arXiv (Cornell University). 1479–1492. 7 indexed citations
15.
16.
Lin, Inna Wanyin, Anjalie Field, Ashish Sharma, et al.. (2022). Gendered Mental Health Stigma in Masked Language Models. 2152–2170. 8 indexed citations
17.
Field, Anjalie, et al.. (2022). An analysis of emotions and the prominence of positivity in #BlackLivesMatter tweets. Proceedings of the National Academy of Sciences. 119(35). e2205767119–e2205767119. 18 indexed citations
18.
Wang, Zirui, Yulia Tsvetkov, Orhan Fırat, & Yuan Cao. (2021). Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models. arXiv (Cornell University). 3 indexed citations
19.
Wang, Zirui, Zachary C. Lipton, & Yulia Tsvetkov. (2020). On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment. 4438–4450. 44 indexed citations
20.
Tsvetkov, Yulia, Vinodkumar Prabhakaran, & Rob Voigt. (2019). Socially Responsible Natural Language Processing. 1326–1326. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by David Bamman Breakdown of academic impact, for papers by Barbara Plank Breakdown of academic impact, for papers by Smaranda Muresan Breakdown of academic impact, for papers by Roi Reichart Breakdown of academic impact, for papers by Alice Oh Breakdown of academic impact, for papers by Patrick Juola Breakdown of academic impact, for papers by Vinodkumar Prabhakaran Breakdown of academic impact, for papers by Joel Tetreault Breakdown of academic impact, for papers by Valerio Basile Breakdown of academic impact, for papers by Beata Beigman Klebanov
Rankless by CCL
2026